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Amazon DataZone now integrates with AWS Glue Data Quality and external data quality solutions

AWS Big Data

Visualize AWS Glue Data Quality scores in Amazon DataZone You can now visualize AWS Glue Data Quality scores in data assets that have been published in the Amazon DataZone business catalog and that are searchable through the Amazon DataZone web portal. We use this data source to import metadata information related to our datasets.

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Build a serverless transactional data lake with Apache Iceberg, Amazon EMR Serverless, and Amazon Athena

AWS Big Data

Iceberg employs internal metadata management that keeps track of data and empowers a set of rich features at scale. The Data Catalog provides a central location to govern and keep track of the schema and metadata. Additionally, you can query in Athena based on the version ID of a snapshot in Iceberg.

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Amazon OpenSearch Service Under the Hood : OpenSearch Optimized Instances(OR1)

AWS Big Data

Today, customers widely use OpenSearch Service for operational analytics because of its ability to ingest high volumes of data while also providing rich and interactive analytics. When the transfer is complete, the primary publishes new checkpoints to all replica copies, notifying them of a new segment being available for download.

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Modernize a legacy real-time analytics application with Amazon Managed Service for Apache Flink

AWS Big Data

We introduce you to Amazon Managed Service for Apache Flink Studio and get started querying streaming data interactively using Amazon Kinesis Data Streams. Frequent materialized view refreshes on top of constantly changing base tables due to streamed data can lead to snapshot isolation errors.

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Introducing Apache Iceberg in Cloudera Data Platform

Cloudera

Companies such as Adobe , Expedia , LinkedIn , Tencent , and Netflix have published blogs about their Apache Iceberg adoption for processing their large scale analytics datasets. . In Iceberg, instead of listing O(n) partitions (directory listing at runtime) in a table for query planning, Iceberg performs an O(1) RPC to read the snapshot.

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Open Data Lakehouse powered by Iceberg for all your Data Warehouse needs

Cloudera

We will publish follow up blogs for other data services. Every table change creates an Iceberg snapshot, this helps to resolve concurrency issues and allows readers to scan a stable table state every time. CDW separates the compute (Virtual Warehouses) and metadata (DB catalogs) by running them in independent Kubernetes pods.

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Simplify operational data processing in data lakes using AWS Glue and Apache Hudi

AWS Big Data

AWS has invested in native service integration with Apache Hudi and published technical contents to enable you to use Apache Hudi with AWS Glue (for example, refer to Introducing native support for Apache Hudi, Delta Lake, and Apache Iceberg on AWS Glue for Apache Spark, Part 1: Getting Started ).